If you are a React Native, NativeScript, Flutter or Ionic developer maybe you don't want to install the entire Android Studio just to have your environment ready. If this is your case, this guide will help you to setup your minimal Android SDK environment in Windows.
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| DPS Potion (Rank 2 Cauldron > Rank 1 Cauldron > Rank 2 Normal > Rank 1 Normal) | |
| #showtooltip | |
| /cqs | |
| /stopcasting | |
| /use item:245898 | |
| /use item:245897 | |
| /use item:241308 | |
| /use item:241309 |
I just found this Memento from http://www.adobe.com/de/downloads/cs2_downloads/index.html.
It hast earlier also been available from Wayback Maschine but today it reads Sorry. This URL has been excluded from the Wayback Machine..
I tried to extract the relevant table with the command
pandoc --from https://archive.today/255q5 --to markdown_strict --output extracted.md